• Title/Summary/Keyword: 예정가격 산정시스템

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Comparative Analysis on Productivity Data and Cost Estimate System of Road Bridge Construction in Korea and China (한국 및 중국 도로교량공사의 생산성자료 및 예정가격 산정시스템 비교분석)

  • Chang, Cheng;Huh, Youngki
    • Korean Journal of Construction Engineering and Management
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    • v.21 no.3
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    • pp.39-47
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    • 2020
  • There are two kinds of cost estimate system in construction in china. Quota valuation model is a traditional cost estimate system under the unity of quantity and price, which is easier and has been used for decades. But the Quota valuation model becomes increasingly unsuited to the needs of society with the development of market economy. To meet the needs of China's market economy development and construction works in the field of international cooperation, the Bill of Quantities valuation model was introduced in 2003. However, there are still many shortcomings and deficiencies in the course of implementation of Bill of Quantities valuation model. In addition, interest in the Chinese construction market continues to increase in Korea due to the recent new North Korean policy and China's the Belt and Road policy. This paper aims to examine the cost estimate system of public construction works in China, and to provide basic data for deriving future improvement plans by comparing and analyzing it with standard cost estimate system in Korea.

Development of Cost Estimate System of Construction Equipment through Analysing Its Domestic Rental Market (임대실태 분석을 통한 건설기계경비 산정시스템 개발)

  • Ahn, Bang-Ryul;Tae, Yong-Ho;Suh, Sang-Wook;Huh, Young-Ki
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.6
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    • pp.121-132
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    • 2012
  • The current estimation system of construction equipment cost was first introduced in 1960's when general contractors had ownership of equipment. However, most of construction equipment in construction sites has been rented from equipment leasing company these days. Therefore, the improvement of current cost estimation system is therefore inevitable in order to advance domestic construction industry. This study is aimed to suggest the improved system by analyzing nationwide market rental rates of major construction equipment. A user friendly prototype of actual database grounded on actual market rental rates collected from over 200 leasing companies in the nation was proposed. The database includes various rates and statistics analyzed by different form of contract as well as different region. Using the collected data, "The Cost Estimate System in Construction Equipment Database" was developed by using VBA(Visual Basic for Applications). The system makes users convenient to utilize the rental rates by choosing equipment and region, and various types of contract.

GIS-based Disaster Management System for a Private Insurance Company in Case of Typhoons(I) (지리정보기반의 재해 관리시스템 구축(I) -민간 보험사의 사례, 태풍의 경우-)

  • Chang Eun-Mi
    • Journal of the Korean Geographical Society
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    • v.41 no.1 s.112
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    • pp.106-120
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    • 2006
  • Natural or man-made disaster has been expected to be one of the potential themes that can integrate human geography and physical geography. Typhoons like Rusa and Maemi caused great loss to insurance companies as well as public sectors. We have implemented a natural disaster management system for a private insurance company to produce better estimation of hazards from high wind as well as calculate vulnerability of damage. Climatic gauge sites and addresses of contract's objects were geo-coded and the pressure values along all the typhoon tracks were vectorized into line objects. National GIS topog raphic maps with scale of 1: 5,000 were updated into base maps and digital elevation model with 30 meter space and land cover maps were used for reflecting roughness of land to wind velocity. All the data are converted to grid coverage with $1km{\times}1km$. Vulnerability curve of Munich Re was ad opted, and preprocessor and postprocessor of wind velocity model was implemented. Overlapping the location of contracts on the grid value coverage can show the relative risk, with given scenario. The wind velocities calculated by the model were compared with observed value (average $R^2=0.68$). The calibration of wind speed models was done by dropping two climatic gauge data, which enhanced $R^2$ values. The comparison of calculated loss with actual historical loss of the insurance company showed both underestimation and overestimation. This system enables the company to have quantitative data for optimizing the re-insurance ratio, to have a plan to allocate enterprise resources and to upgrade the international creditability of the company. A flood model, storm surge model and flash flood model are being added, at last, combined disaster vulnerability will be calculated for a total disaster management system.